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4.50
(2 Ratings)

Data Science Foundations

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    • About Course

      Learn the complete data science workflow from collecting and cleaning data to analyzing trends and building predictive models. This beginner-friendly course introduces Python, data visualization, statistical thinking, and machine learning through practical projects that mirror real-world business and research scenarios.

      What Will You Learn?

      • Write Python code for data analysis
      • Clean and prepare datasets
      • Analyze data using Pandas
      • Create effective visualizations
      • Understand statistical concepts
      • Build basic machine learning models
      • Interpret and communicate insights
      • Complete end-to-end data projects

      Course Content

      Python for Data Analysis
      Learn the Python fundamentals necessary for working with data and preparing datasets for analysis.

      • Introduction to Python
      • Working with Data Structures
      • Introduction to Pandas
      • Python Fundamentals
      • Pandas & Data Structures

      Data Cleaning & Visualization
      Learn how to prepare messy datasets and create visualizations that communicate meaningful insights.

      • Handling Missing Data
      • Data Visualization Fundamentals
      • Using Matplotlib and Seaborn
      • Data Cleaning
      • Visualization Assessment

      Introduction to Machine Learning
      Understand how machines learn from data and build your first predictive models.

      • What Is Machine Learning?
      • Supervised vs Unsupervised Learning
      • Building Your First Model
      • Machine Learning Basics
      • Model Building Assessment

      Student Ratings & Reviews

      4.5
      Total 2 Ratings
      5
      1 Rating
      4
      1 Rating
      3
      0 Rating
      2
      0 Rating
      1
      0 Rating
      KG
      Kushtrim Guraj
      1 javë ago
      Mir
      M
      MesazhiNet
      1 muaj ago
      Bukur
      Free
      Free access this course
      • Beginner
      • 2 Total Enrolled
      • 10 hours Duration
      • 22 Qershor, 2026 Last Updated
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      A course by

      M
      MesazhiNet

      Material Includes

      • Practice datasets
      • Python cheat sheet
      • Data cleaning checklist
      • Visualization guide
      • Machine learning workbook

      Requirements

      • Basic computer skills
      • No programming experience required
      • Python installation recommended
      • Google Colab or Jupyter Notebook access

      Audience

      • Students
      • Aspiring Data Analysts
      • Aspiring Data Scientists
      • Business Professionals
      • Researchers
      • Career Switchers

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